Data Analyst: Marketing & Data Storytelling at Constructor

HipHopTune Media; London; Remote; GBP 45,000 - 68,000; Full time

Job summary

An established industry player is seeking a skilled Data Analyst to join their innovative Marketing Data Storytelling team. This remote role offers the chance to leverage advanced data analysis techniques and tools to transform complex retail data into engaging narratives that resonate with diverse audiences. Collaborating with marketers and engineers, you will uncover valuable insights that enhance ecommerce strategies. If you are passionate about data and storytelling, this position provides a unique opportunity to make a significant impact within a dynamic, fast-paced environment.

Qualifications

• Strong ability to analyze large datasets and uncover trends.
• Proficient in SQL and Python for data analysis and visualization.

Responsibilities

• Analyze retailer data to identify trends in ecommerce search.
• Develop data-driven narratives to support marketing initiatives.

Skills

Data Analysis

SQL

Python (pandas, numpy, matplotlib, seaborn)

Data Storytelling

Communication Skills

Statistics

A/B Testing

Tools

Google Analytics

Looker

Tableau

Databricks

Athena/Presto

Job description

Data Analyst: Marketing & Data Storytelling at Constructor

Constructor, a leading tech company based in London, is looking for a talented Data Analyst to specialize in Marketing & Data Storytelling. This remote role offers an exciting opportunity to work with cutting-edge technologies such as Athena/Presto, Python (notebooks), Databricks, Google Analytics, and top BI tools like Looker and Tableau.

About Constructor

Constructor is the only search and product discovery platform tailor-made for enterprise ecommerce where conversions matter. Constructor’s AI-first solutions make it easier for shoppers to discover products they want to buy and for ecommerce teams to deliver highly personalized experiences that drive impressive results. Optimizing specifically for ecommerce metrics like revenue, conversion rate and profit, Constructor generates consistent $10M+ lifts for some of the biggest brands in ecommerce, such as Sephora, Petco, home24, Maxeda Brands, Birkenstock and The Very Group. Constructor is a U.S. based company that was founded in 2015 by Eli Finkelshteyn and Dan McCormick.

Position: Data Analyst

Salary: £45,000 to £68,000 a year

Job Type: Full Time

Location: Remote (London, UK)

About the Role

At Constructor, we believe in the power of data to tell compelling stories. Our Marketing Data Storytelling program transforms complex retail data into meaningful insights that resonate with the public, industry professionals, and media. Through aggregated data analysis, we uncover trends, benchmarks, and unique insights about Ecommerce search and product discovery, providing valuable information to the broader retail and technology communities.

As a Data Analyst in this team, you will collaborate with marketers, data scientists, and engineers to derive actionable insights from large datasets and translate them into engaging reports, blog posts, and thought leadership pieces that showcase the impact of Constructor’s technology in the ecommerce space.

Responsibilities

• Analyze aggregated retailer data to identify key trends and benchmarks in ecommerce search, merchandising, personalization and other aspects of product discovery.
• Work with the content team to develop compelling data-driven narratives to support Constructor’s marketing initiatives, including blog posts, white papers, and industry reports.
• Work closely with the marketing and content teams to translate analytical findings into accessible and visually appealing data visualizations and insights.
• Identify patterns in search and discovery behaviors across industries to help inform retailers and industry professionals.
• Develop and maintain dashboards and reports that highlight industry benchmarks and Constructor’s impact.
• Partner with internal data science and engineering teams to ensure the accuracy and integrity of the data used for storytelling initiatives.

Requirements

• You have a strong ability to analyze and interpret large datasets, uncovering meaningful trends and insights.
• You are proficient in SQL and experienced in using Python (pandas, numpy, matplotlib, seaborn) for exploratory data analysis and data visualization. Big plus is practical familiarity with the big data stack (Spark, Presto/Athena, Hive).
• You have experience with BI tools (e.g., Looker, Tableau, Google Data Studio) to create compelling visual representations of data.
• You have excellent communication skills, with the ability to translate complex data insights into clear and engaging narratives for both technical and non-technical audiences.
• You are familiar with statistics, A/B testing, and data storytelling principles.
• A strong understanding of the ecommerce space, including search, personalization, and merchandising trends is preferred.
• You are proactive and thrive in a fast-paced, remote-first environment.